A neuronal algorithm for metacognitive monitoring of conflicting actions

Description of the granted funding

Imagine stopping just in time to avoid being hit by a car. After almost being hit, we act more carefully in the future. The brain must have neurons to detect these situations and adjust action policy. fMRI studies show that the anterior cingulate cortex (ACC) detects these situations by monitoring for the simultaneous activation of opposing actions (like stopping yourself from walking in front of a car). While it is known that the ACC becomes active in these situations, the calculation performed by ACC neurons to quantify conflict is unknown. Here, we record spiking of single ACC neurons and motor cortex neurons and use mathematical modeling to uncover the computation or “neuronal algorithm” underlying our ability to detect and adjust our behavior.
Show more

Starting year

2025

End year

2029

Granted funding

Nelson Totah Orcid -palvelun logo
593 976 €

Funder

Research Council of Finland

Funding instrument

Academy projects

Decision maker

Scientific Council for Biosciences, Health and the Environment
16.06.2025

Other information

Funding decision number

371486

Fields of science

Neurosciences

Research fields

Systeeminen ja kognitiivinen neurotiede

Identified topics

autonomous systems, automated driving